def make_ohist(idx, mask, d):
if (idx, mask) not in d:
h = utils.NH1(bins=np.linspace(-3,3,20))
d[(idx,mask)] = h
else:
h = d[(idx,mask)]
h.fill_array(o[m[mask],idx], w[m[mask]])
h.scale()
return h
def __init__(self, name, binning, fn, classes=[0, 1],
weight_fn=None, cut_fn=None, xlabel=None, ylabel=None):
self._fn = fn
self._weight_fn = weight_fn
self._cut_fn = cut_fn
self.name = name
self._bins = binning
self.hists = {c:utils.NH1(binning) for c in classes}
self.xlabel = xlabel
self.ylabel = ylabel
self.classes = classes
def __init__(self,
name,
binning,
fns,
weight_fn=None,
xlabel=None,
ylabel=None):
self._fns = fns
self._weight_fn = weight_fn
self.name = name
self._bins = binning
self.hists = {x: utils.NH1(binning) for x in fns}
self.xlabel = xlabel
self.ylabel = ylabel
def plot(binning, fn, samples, outpath, xlabel=None, ylabel=None):
hists = {}
for s in samples:
h = utils.NH1(binning)
if type(fn) == int:
h.fill_array(s.X[s.vidx, fn], weights=s.W[s.vidx])
else:
h.fill_array(fn(s), weights=s.W[s.vidx])
h.scale()
hists[s.name] = h
p = utils.Plotter()
for i, s in enumerate(samples):
p.add_hist(hists[s.name], s.name, i)
_make_parent(outpath)
p.plot(xlabel=xlabel, ylabel=ylabel, output=outpath)
p.plot(xlabel=xlabel, ylabel=ylabel, output=outpath + '_logy', logy=True)
p.clear()
return hists